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lme4 (version 1.1-5)

Linear mixed-effects models using Eigen and S4

Description

Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the Eigen C++ library for numerical linear algebra and RcppEigen "glue".

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Install

install.packages('lme4')

Monthly Downloads

539,225

Version

1.1-5

License

GPL (>= 2)

Issues

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Repository

https://github.com/lme4/lme4/ http://lme4.r-forge.r-project.org/

Maintainer

Ben Bolker

Last Published

March 14th, 2014

Functions in lme4 (1.1-5)

Univariate Gauss-Hermite quadrature rule

Model-based (Semi-)Parametric Bootstrap for Mixed Models

Is f1 nested within f2?

Fit Generalized Linear Mixed-Effects Models

Extract Variance and Correlation Components

Generator object for the golden search optimizer class.

Breakage Angle of Chocolate Cakes

Generator object for the glmFamily class

glmer() for Negative Binomial

Determine random-effects expressions from a formula

Extract fixed-effects estimates

Create Z, Lambda, Lind, etc.

Paste strength by batch and cask

Check characteristics of models

Classes "lmResp", "glmResp", "nlsResp" and "lmerResp"

Linear, generalized linear, and nonlinear mixed models

University Lecture/Instructor Evaluations by Students at ETH

Dummy variables (experimental)

Sparse Gaussian Quadrature grid

Extract or Get Generalized Components from a Fitted Mixed Effects Model

Transform to the variance scale

Getting p-values for fitted models

Make Variance and Correlation Matrices from theta

Extract the modes of the random effects

Refit a model with a new response, by maximum likelihood criterion

Variation in penicillin testing

add information to data based on a fitted model

Number of levels

diagnostic plots for merMod fits

Generator object for the merPredD class

Control of Mixed Model Fitting

simulate.merMod

Simulate responses from a merMod object

Generator object for the rePos (random-effects positions) class

Extract the deviance component list

expandDoubleVerts

Expand terms with '||' notation into separate '|' terms

Omit terms separated by vertical bars in a formula

Class "merPredD" - a dense predictor reference class

Compute confidence intervals on the parameters of an lme4 fit

Class "merMod" of Fitted Mixed-Effect Models

Drop all possible single fixed-effect terms from a mixed effect model

Fit Nonlinear Mixed-Effects Models

Manipulate a nonlinear model formula.

profile-methods

Profile method for merMod objects

residuals.merMod

residuals of merMod objects

Nelder-Mead Optimization of Parameters, Possibly (Box) Constrained

Reaction times in a sleep deprivation study

Yield of dyestuff by batch

Modular functions for mixed model fits

Predictions from a model at new data values

List of lm Objects with a Common Model

Class "lmList" of 'lm' Objects on Common Model

Create a merMod object

Fit Linear Mixed-Effects Models

Refit a model by maximum likelihood criterion

Class "rePos"

Sparse Gauss-Hermite quadrature grids

Verbal Aggression item responses

Class "golden"

Mixed-Effects Profile Plots (Regular / Density / Pairs)

Create an lmerResp, glmResp or nlsResp instance

Extract residual standard error

NelderMead-class

Class "NelderMead" of Nelder-Mead optimizers and its Generator

Data on red grouse ticks from Elston et al. 2001

"Sub[stitute] Bars"

Contagious bovine pleuropneumonia

glmFamily-class

Class "glmFamily" - a reference class for family

Generator objects for the response classes

Create a deviance evaluation function from a predictor and a response module